What I've done recently

I've recently worked on several interesting projects related to data science and data analysis. Here are some of my favourites.

Simulation for Cricket
A machine learning-based cricket simulator that predicts delivery outcomes, enabling match simulations, scorecards, and batting position optimization in Twenty20 cricket.
Machine Learning
Cricket
Simulation
Arts Dashboarad
A visual summary of Canada Council for the Arts grants from 2017–2024, showing funding trends, recipient types, and distributions across disciplines and regions.
Dashboard
Arts
Software Developer Analysis
Analysis of data professionals' career aspects and software developers' learning preferences in their career development.
Dashboard
PowerBI
Sampling
Stratified Adaptive Clustering
Implementation of the concept of Stratified Adaptive Cluster Sampling in R based on the research paper by Steven K. Thompson.
R Programming Language
Sampling
ML Shrinkage Strategies
A project that applies shrinkage strategies to a logistic regression model to predict the winner of a cricket match.
Python
Machine Learning
Shrinkage
Flu Shot Overview
A healthcare data dashboard designed to present an overview of the flu shot progress across the USA.
Dashboard
Healthcare

Open Source

Matplotlib Animated Plot
This is a simple jupyter notebook that attempts to create and customize an animated plot using matplotlib library. The sample dataset was sourced from the in-game win probabilities generated by one of the models that power the web application at http://predictors.shinyapps.io/wpsg/. You may change the dataset fields and the plot parameters to customize the plot according to your requirements.